Update app.py

app.py

@@ -16,11 +16,82 @@ def infer(audio):
 
     #portrait_response = requests.get(portrait_link, headers={'Authorization': 'Bearer ' + token})
     #print(portrait_response.text)
-    return audio_response, portrait_link
+    return portrait_link
 
-inputs = gr.Audio(source="microphone",type="filepath")
-outputs = [gr.Audio(), gr.Video()]
+title = """
+    <div style="text-align: center; max-width: 500px; margin: 0 auto;">
+        <div
+        style="
+            display: inline-flex;
+            align-items: center;
+            gap: 0.8rem;
+            font-size: 1.75rem;
+            margin-bottom: 10px;
+        "
+        >
+        <h1 style="font-weight: 600; margin-bottom: 7px;">
+            GPT Talking Portrait
+        </h1>
+        </div>
+        <p style="margin-bottom: 10px;font-size: 94%;font-weight: 100;line-height: 1.5em;">
+        Use Whisper to ask, alive portrait responds  !
+        </p>
+    </div>
+"""
+
+css = '''
+    #col-container, #col-container-2 {max-width: 510px; margin-left: auto; margin-right: auto;}
+    a {text-decoration-line: underline; font-weight: 600;}
+    div#record_btn > .mt-6 {
+        margin-top: 0!important;
+    }
+    div#record_btn > .mt-6 button {
+        width: 100%;
+        height: 40px;
+    }
+    .footer {
+            margin-bottom: 45px;
+            margin-top: 10px;
+            text-align: center;
+            border-bottom: 1px solid #e5e5e5;
+        }
+        .footer>p {
+            font-size: .8rem;
+            display: inline-block;
+            padding: 0 10px;
+            transform: translateY(10px);
+            background: white;
+        }
+        .dark .footer {
+            border-color: #303030;
+        }
+        .dark .footer>p {
+            background: #0b0f19;
+        }
+'''
+
+with gr.Blocks(css=css) as demo:
+    
+    with gr.Column(elem_id="col-container"):
+        
+        gr.HTML(title)
+        
+        with gr.Row():
+            record_input = gr.Audio(source="microphone",type="filepath", show_label=False,elem_id="record_btn")
+            
+        with gr.Row():
+            
+            send_btn = gr.Button("Send my request !")
+         
+    
+    with gr.Column(elem_id="col-container-2"):
+        
+        gpt_response = gr.Video()
+
+        
+    
+    send_btn.click(infer, inputs=[record_input], outputs=[gpt_response])
+
+demo.queue(max_size=32, concurrency_count=20).launch(debug=True)
 
-demo = gr.Interface(fn=infer, inputs=inputs, outputs=outputs)
-demo.launch()